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java.lang.Objectorg.apache.commons.math.distribution.AbstractDistribution
org.apache.commons.math.distribution.AbstractContinuousDistribution
org.apache.commons.math.distribution.ExponentialDistributionImpl
public class ExponentialDistributionImpl
The default implementation of ExponentialDistribution
.
Field Summary | |
---|---|
static double |
DEFAULT_INVERSE_ABSOLUTE_ACCURACY
Default inverse cumulative probability accuracy |
private double |
mean
The mean of this distribution. |
private static long |
serialVersionUID
Serializable version identifier |
private double |
solverAbsoluteAccuracy
Inverse cumulative probability accuracy |
Constructor Summary | |
---|---|
ExponentialDistributionImpl(double mean)
Create a exponential distribution with the given mean. |
|
ExponentialDistributionImpl(double mean,
double inverseCumAccuracy)
Create a exponential distribution with the given mean. |
Method Summary | |
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double |
cumulativeProbability(double x)
For this distribution, X, this method returns P(X < x). |
double |
density(double x)
Return the probability density for a particular point. |
double |
density(java.lang.Double x)
Deprecated. - use density(double) |
protected double |
getDomainLowerBound(double p)
Access the domain value lower bound, based on p , used to
bracket a CDF root. |
protected double |
getDomainUpperBound(double p)
Access the domain value upper bound, based on p , used to
bracket a CDF root. |
protected double |
getInitialDomain(double p)
Access the initial domain value, based on p , used to
bracket a CDF root. |
double |
getMean()
Access the mean. |
protected double |
getSolverAbsoluteAccuracy()
Return the absolute accuracy setting of the solver used to estimate inverse cumulative probabilities. |
double |
inverseCumulativeProbability(double p)
For this distribution, X, this method returns the critical point x, such that P(X < x) = p . |
void |
setMean(double mean)
Deprecated. as of 2.1 (class will become immutable in 3.0) |
private void |
setMeanInternal(double newMean)
Modify the mean. |
Methods inherited from class org.apache.commons.math.distribution.AbstractDistribution |
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cumulativeProbability |
Methods inherited from class java.lang.Object |
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clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
Methods inherited from interface org.apache.commons.math.distribution.Distribution |
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cumulativeProbability |
Field Detail |
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public static final double DEFAULT_INVERSE_ABSOLUTE_ACCURACY
private static final long serialVersionUID
private double mean
private final double solverAbsoluteAccuracy
Constructor Detail |
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public ExponentialDistributionImpl(double mean)
mean
- mean of this distribution.public ExponentialDistributionImpl(double mean, double inverseCumAccuracy)
mean
- mean of this distribution.inverseCumAccuracy
- the maximum absolute error in inverse cumulative probability estimates
(defaults to DEFAULT_INVERSE_ABSOLUTE_ACCURACY
)Method Detail |
---|
@Deprecated public void setMean(double mean)
setMean
in interface ExponentialDistribution
mean
- the new mean.
java.lang.IllegalArgumentException
- if mean
is not positive.private void setMeanInternal(double newMean)
newMean
- the new mean.
java.lang.IllegalArgumentException
- if newMean
is not positive.public double getMean()
getMean
in interface ExponentialDistribution
public double density(java.lang.Double x)
density
in interface ExponentialDistribution
density
in interface HasDensity<java.lang.Double>
x
- The point at which the density should be computed.
public double density(double x)
density
in class AbstractContinuousDistribution
x
- The point at which the density should be computed.
public double cumulativeProbability(double x) throws MathException
cumulativeProbability
in interface Distribution
x
- the value at which the CDF is evaluated.
MathException
- if the cumulative probability can not be
computed due to convergence or other numerical errors.public double inverseCumulativeProbability(double p) throws MathException
p
.
Returns 0 for p=0 and Double.POSITIVE_INFINITY
for p=1.
inverseCumulativeProbability
in interface ContinuousDistribution
inverseCumulativeProbability
in class AbstractContinuousDistribution
p
- the desired probability
p
MathException
- if the inverse cumulative probability can not be
computed due to convergence or other numerical errors.
java.lang.IllegalArgumentException
- if p < 0 or p > 1.protected double getDomainLowerBound(double p)
p
, used to
bracket a CDF root.
getDomainLowerBound
in class AbstractContinuousDistribution
p
- the desired probability for the critical value
p
protected double getDomainUpperBound(double p)
p
, used to
bracket a CDF root.
getDomainUpperBound
in class AbstractContinuousDistribution
p
- the desired probability for the critical value
p
protected double getInitialDomain(double p)
p
, used to
bracket a CDF root.
getInitialDomain
in class AbstractContinuousDistribution
p
- the desired probability for the critical value
protected double getSolverAbsoluteAccuracy()
getSolverAbsoluteAccuracy
in class AbstractContinuousDistribution
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